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Development of a mathematical model for technical diagnostics of reciprocating compressors for the rocket and space complex

https://doi.org/10.25206/2588-0373-2025-9-3-38-46

EDN: EVJMLE

Abstract

The article examines a piston compressor as the object of diagnostics, which is a part of the compressor equipment complex for the production, storage, and distribution of gases at launch sites providing launch vehicles. A diagnostic model for the piston compressor as for the primary device for producing compressed air has been selected, based on the processes of changes in air parameters such as pressure, volume, and temperature over one full cycle. The use of the Hilbert–Huang transforming is proposed for processing diagnostic parameters obtained from the analysis of indicator diagrams of the piston compressor stages. By applying a correlation-type function similar to the Hausdorff metric, the method compares signals from a technically faulty piston compressor with a reference (a properly functioning piston compressor) to identify characteristic malfunctions.

About the Authors

R. R. Khotsky
808 Military Representative Office of the Russian Defense Ministry
Russian Federation

KHOTSKY Rostislav Rostislavovich, Deputy Head

Saint Petersburg, Babushkina St., 123, 192012

AuthorID (RSCI): 1234008



A. V. Burakov
JSC “Compressor”
Russian Federation

BURAKOV Aleksandr Vasilyevich, Head of the Central Design Bureau

Saint Petersburg, Bolshoi Sampsonievsky Ave., 64, 194044

AuthorID (RSCI): 994917AuthorID (SCOPUS): 57210981312



L. G. Kuznetsov
JSC “Compressor”
Russian Federation

KUZNETSOV Leonid Grigorievich, Doctor of Technical Sciences, Professor, General Designer

Saint Petersburg, Bolshoi Sampsonievsky Ave., 64, 194044

AuthorID (RSCI): 359074

ResearcherID: A-8766-2018



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For citations:


Khotsky R.R., Burakov A.V., Kuznetsov L.G. Development of a mathematical model for technical diagnostics of reciprocating compressors for the rocket and space complex. Omsk Scientific Bulletin. Series Aviation-Rocket and Power Engineering. 2025;9(3):38-46. (In Russ.) https://doi.org/10.25206/2588-0373-2025-9-3-38-46. EDN: EVJMLE

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